Thesis Abstract

Abstract
Landslides are natural hazards that pose significant risks to human lives and infrastructure in various regions worldwide. This thesis investigates the susceptibility of landslides using remote sensing and Geographic Information System (GIS) techniques in a specific region. The study focuses on assessing the factors contributing to landslide occurrence, developing a susceptibility model, and providing valuable insights for landslide risk mitigation and management strategies. The introductory chapter sets the stage for the research by providing a background of landslides, emphasizing the importance of understanding landslide susceptibility, and outlining the objectives, limitations, scope, and significance of the study. The structure of the thesis is also presented to guide the reader through the research flow. Chapter two presents a comprehensive literature review that examines existing studies on landslide susceptibility assessment, remote sensing, GIS applications in landslide analysis, and relevant methodologies for developing susceptibility models. The review highlights the significance of integrating remote sensing and GIS technologies in landslide studies and identifies key factors influencing landslide susceptibility. Chapter three details the research methodology employed in this study, including data collection methods, remote sensing techniques, GIS tools, and the steps involved in developing the landslide susceptibility model. The chapter also discusses the selection of the study area, data preprocessing procedures, and the application of statistical and spatial analysis techniques. In chapter four, the findings of the study are presented and discussed in detail. The susceptibility model developed using remote sensing and GIS data is evaluated, and the role of various factors in influencing landslide susceptibility is analyzed. The chapter also includes a spatial visualization of the susceptibility map, highlighting areas at high risk of landslides in the specific region. The final chapter, chapter five, provides a summary of the research findings, conclusions drawn from the study, and recommendations for future research and practical applications. The thesis concludes by emphasizing the importance of proactive landslide risk management strategies based on the developed susceptibility model to enhance disaster preparedness and response in the specific region. Overall, this thesis contributes to the field of geology and natural hazard management by demonstrating the effectiveness of remote sensing and GIS techniques in analyzing landslide susceptibility. The study provides a valuable framework for assessing landslide risk in specific regions and offers insights that can inform decision-making processes for disaster risk reduction and sustainable development practices.

Thesis Overview

The project titled "Analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region" aims to investigate the factors contributing to landslide susceptibility in a particular geographic area by utilizing advanced technologies such as remote sensing and Geographic Information System (GIS). Landslides are natural hazards that pose significant risks to human lives, infrastructure, and the environment, making it crucial to understand and predict their occurrence. By combining remote sensing data with GIS analysis, this research seeks to enhance the understanding of landslide susceptibility factors and improve mitigation strategies. The research will begin with a comprehensive literature review to explore existing studies on landslide susceptibility assessment, remote sensing applications, and GIS techniques related to landslide analysis. This background study will provide a solid foundation for the research and highlight gaps in the current knowledge that this project aims to address. The project will focus on identifying and mapping key factors influencing landslide susceptibility in the specific region of interest. Remote sensing data, such as satellite imagery and aerial photographs, will be utilized to gather information on terrain characteristics, land cover types, slope gradients, and other relevant environmental variables. GIS software will then be employed to analyze and integrate these data layers to create a spatial model of landslide susceptibility. The methodology of the research will involve data collection, processing, and analysis using remote sensing and GIS tools. Field surveys may also be conducted to validate the results obtained from the remote sensing data. Statistical techniques and spatial analysis methods will be applied to assess the relationship between the identified factors and historical landslide occurrences in the study area. The findings of this research will provide valuable insights into the spatial distribution of landslide susceptibility factors in the specific region, helping to prioritize areas at higher risk of landslides. The spatial model developed through remote sensing and GIS techniques will enable the prediction and mapping of landslide susceptibility zones, which can inform land use planning, disaster management, and risk mitigation efforts. In conclusion, this project on the analysis of landslide susceptibility using remote sensing and GIS techniques in a specific region represents a significant contribution to the field of geology and natural hazard management. By leveraging the capabilities of remote sensing and GIS technologies, this research aims to enhance our understanding of landslide susceptibility factors and improve the ability to assess and mitigate landslide risks in the study area.